A Framework of Analysis Support System for Visualized Information
Susumu Shirayama, Hiroyuki Yamato · Journal of the Society of Naval Architects of Japan · 2002
A huge amount of data has been produced from computations and experiments in Computational Fluid Dynamics and Experimental Fluid Dynamics. Owing to the volume of data, it is quite difficult to extract useful information from these data even if using flow visualization. In this paper, we propose a framework of analysis support system for visualized information. First, a simplification of visualized information for the purpose of an efficient information extraction to analyze a flow field is discussed. It is shown that critical points on a velocity field and a vortical structure obtained by substituting the vorticity distribution into discrete vortex elements become a starting point of simplification. And then, we demonstrate that several techniques of map generalization are valid to simplify the visualized information, and the results simplified by the generalization can be effectively visualized using nonlinear magnification. Second, we consider an annotation system. Annotations are added to the clustered or symbolized objects extracted from the simplified information. Finally, we show a framework of the system, and several examples are demonstrated. It will be considered that our proposed system is useful to analyze the visualized information.